link to model ?

app.py

@@ -1,7 +1,18 @@
 import gradio as gr
+#from transformers import pipeline
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
-def greet(name):
-    return "Hello " + name + "!!"
+#model = AutoModel.from_pretrained("kolbeins/model")  
+#pipeline = pipeline(task="text-generation", model="kolbeins/model")
+model = AutoModelForCausalLM.from_pretrained("kolbeins/model")
+tokenizer = AutoTokenizer.from_pretrained("kolbeins/model")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+def chat(input_txt):
+    # response = pipeline(input_txt)
+    inputs = tokenizer(input_txt, return_tensors="pt")
+    outputs = model.generate(inputs["input_ids"], max_length=150, num_return_sequences=1)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+demo = gr.Interface(fn=chat, inputs="text", outputs="text")
+demo.launch(share=True)